From UWebASR to calibrated accuracy estimates for oral histories
Automatic speech recognition is most useful when users can also estimate how much trust to place in its output. For long witness testimonies, including Holocaust survivor testimonies, this matters because researchers often work with sensitive, historically valuable material. Agentic AI helped us turn a proof-of-concept workflow into a deployable production feature in roughly two weeks.
